Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
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Updated
Nov 2, 2021 - MATLAB
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".
Repository for the code of the "Dynamic Programming and Optimal Control" (DPOC) lecture at the "Institute for Dynamic Systems and Control" at ETH Zurich.
Model-Free Optimal Control Design Using Policy Iteration for LQR Problems - MATLAB
Comparison of Value Iteration, Policy Iteration and Q-Learning for solving Decision-Making problems
Programming Exercise for the Course Unit "Dynamic Programming and Optimal Control"
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